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Data · dataset · 2024

Cone-beam computed tomography noise reduction method based on U-Net with convolutional block attention module in proton therapy

Listed in ScienceDB

those is the corresponding data of "Cone-beam computed tomography noise reduction method based on U-Net with convolutional block attention module in proton therapy".This data consist of network weight, analysis matlab data of CBAM-N-Net, and include the original picture of the paper.

Description

Network weight is pytorch structure that can directly be imported to generate whole network structure. And the analysis mat data is CT,CBCT,SCT data(U-Net, CBAM-U-Net) for dose calculation analysis which be saved as matlab files and can directly be imported in matRad.

The matRad zip file is also uploaded in the files that need to be extracted in the matlab code list.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Biomedical engineering 69% · Computed tomography 75%
Provenance · 1 source records, 13 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.j00186.001927 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].anzsrc:group:4003enrichment · scidb cntaxonomy-embedding@1.0.0title+keywords+description (69%)
concepts[field].local:field:computer-science-aimapping · scidb cnconnector:scidb_cn@1.0.0
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concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
concepts[modality].local:modality:ctenrichment · scidb cnkeyword-concept-rules@1.0.0title+description (75%)
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